Description
NumPy is a numerical computation library extensively used in data science, machine learning, and statistics. In fact, many other libraries in these fields rely on NumPy arrays to deliver their functions efficiently. In the area of data science and machine learning, we often work with tabular data, which can be represented very well by NumPy arrays.
In this course, you will learn to work with n-dimensional arrays and to manipulate them comfortably to solve complex tasks in different domains.
Course Trailer
Course Curriculum
Available in
days
days
after you enroll
- Introduction to NumPy (12:02)
- Creating, indexing and slicing NumPy arrays (9:54)
- Copying and editing NumPy arrays (4:08)
- Stacking and restructuring NumPy array (13:40)
- Arithmetic operations with NumPy arrays (12:18)
- Operations with NumPy arrays of different shapes (4:39)
- Concatenation, reversion and persistence of NumPy arrays (8:49)
Available in
days
days
after you enroll
Requirements
- Basic Python fluency.
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